Manufacturing engineers, computer vision researchers, and quality veterans working on one problem.
Former quality director at two Tier-1 auto suppliers. Founded QualiVision after spending eight years fighting manual inspection bottlenecks. Holds a BS in Manufacturing Engineering from Penn State.
Computer vision PhD from Carnegie Mellon. Built inspection algorithms for semiconductor fabs before joining QualiVision at founding. Leads all product development and model training infrastructure.
14 years running plant operations at a Midwest electronics manufacturer. Oversees customer deployments, field engineering team, and post-installation support. The reason our uptime is 99.7%.
Former research scientist specializing in anomaly detection and few-shot learning. Designed the training pipeline that lets quality engineers build models in hours instead of months.
Our team has hands-on experience from automotive stamping plants, PCB assembly lines, pharmaceutical packaging, and aerospace component machining. We're not pitching theory - we've run quality programs and felt the pressure of a line stoppage.
That background is why QualiVision is designed the way it is. No cloud dependency. No data science degree required to train a model. Straightforward integration with plant-floor equipment you already have.
We're looking for people who have been on a factory floor and want to change what happens there. Contact us to hear about open roles.
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